Role Description Centessa is seeking a Senior Scientist in Discovery DMPK to partner with pharmacologists and medicinal chemists to support the identification of lead candidates with optimal DMPK properties for potential progression into development. Reporting to the Executive Director, DMPK, this role requires understanding of pharmacokinetic (PK), pharmacodynamic/pharmacokinetic (PK/PD), and ADME principles to enable triaging & progression of small molecule leads. A qualified candidate will have previous experience in PK and PK/PD modeling, ideally for CNS drug candidates, and an understanding of vital ADME properties for CNS drug candidate progression. Key Responsibilities - Design profiling strategies (including in vitro ADME assays) to evaluate compounds and series emerging from hit identification effort - Design PK/PD strategies to advance lead identification and optimization series - Protocol development and data analysis of PK and PK/PD studies for proof-of-concept studies - Review statements of work (SOWs) to ensure alignment with project objectives - Analyze and interpret in vitro and in vivo PK and PK/PD data, ensuring accuracy and consistency - Utilize AI tools in prediction of PK properties and guide the use of such technology in supporting SAR development in lead identification and optimization phases - Author and review compound checklists for drug candidate progression - Represent the DMPK function in project team meetings; present results and contribute to data-driven decision-making. Qualifications - Ph.D. in Pharmaceutical Sciences, Pharmacology or a related field - Minimum of 4 years of industry experience in a biotech or pharmaceutical setting - Proficiency with Phoenix WinNonlin and other software for PK and PK/PD modeling in small molecule drug discovery is essential - Previous work in the early discovery and lead optimization of CNS drug candidates is essential - Strong analytical and problem-solving skills - Demonstrated ability to work cross-functionally and communicate scientific findings clearly and effectively - Collaborative mindset and sense of urgency - Proactive and excellent communication skills Requirements - The annual base salary range for this position is $160,000 - $180,000. - Individual compensation within this range will be determined based on a variety of factors, including qualifications, skills, relevant experience, and job knowledge. - This role is eligible for a discretionary annual bonus and participation in our equity program. Benefits - Comprehensive benefits package, which includes a 401(k) plan - Company-sponsored medical, dental, vision, and life insurance - Generous paid time off - Health and wellness program Work Location - The Sr. Scientist, DMPK is a remote role based in the US, with infrequent travel (~10%). EEOC Statement Centessa Pharmaceuticals believes in a diverse environment and is committed to equal employment opportunity for all its employees and qualified applicants. We do not discriminate in recruitment, hiring, training, promotion, or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, marital or veteran status, disability, or any other legally protected status. Centessa Pharmaceuticals will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law.

• Own analytical frameworks that guide the product roadmap. • Design rigorous experiments and interpret results to draw detailed and actionable conclusions. • Develop statistical models to extract trends, measure results, and predict future performance of our products. • Build simulations to project the impact of various product and policy interventions. • Enable objective decision-making across the company by democratizing data through dashboards and other analytical tools. • Use expertise in causal inference, machine learning, complex systems modeling, behavioral decision theory, etc., to shape the future of Instacart. • Present findings in a compelling way to influence Instacart’s leadership.

• Own analytical frameworks that guide the product roadmap. • Design rigorous experiments and interpret results to draw detailed and actionable conclusions. • Develop statistical models to extract trends, measure results, and predict future performance of our products. • Build simulations to project the impact of various product and policy interventions. • Enable objective decision-making across the company by democratizing data through dashboards and other analytical tools. • Use expertise in causal inference, machine learning, complex systems modeling, behavioral decision theory, etc., to shape the future of Instacart. • Present findings in a compelling way to influence Instacart’s leadership.

Company Description Version 1 has celebrated 30 years in business and continues to be trusted by global brands to deliver technology and transformation solutions that drive customer success. Our deep expertise enables our customers to navigate the rapidly evolving technology landscape. We foster strong partnerships with global technology leaders including Microsoft, AWS, Oracle, Red Hat, OutSystems, Snowflake, ensuring that our customers are provided with the highest quality solutions and services. We’re an award-winning employer reflecting how our employees are at the very heart of what we do: - UK & Ireland's premier AWS, Microsoft & Oracle partner - 3300+ strong, €350/£300m revenue business - 10+ years as a Great Place to Work in Ireland & UK - Best Workplace for Women in the UK & Ireland by GPTW - Best Workplace for Wellbeing in the UK by GPTW We’re a core values driven company, we hire people who share our values, and we reward those who display and foster them, it’s deeply embedded within our DNA. Invest in us and we’ll invest in you. Job Description Role Overview We are seeking a Data Scientist to design, build, and deliver production ready data science and machine learning solutions for enterprise and regulated clients. This is a hands on role covering the full lifecycle - from data exploration and feature engineering through to model deployment, evaluation, and iteration. The role suits someone focused on real world delivery and measurable outcomes, rather than research in isolation. Key Responsibilities - · Develop and deploy ML and data science solutions from proof of concept to production - · Perform data exploration, feature engineering, and model development on large datasets - · Apply techniques across prediction, classification, clustering, NLP, and multimodal AI - · Use both traditional ML and GenAI / LLM approaches where appropriate - · Track experiments, metrics, and model versions (e.g. MLflow) - · Collaborate with data engineers and AI engineers to integrate models into platforms - · Continuously improve models based on performance, feedback, and data drift Qualifications Required Skills & Experience - · 5+ years in applied data science or machine learning roles - · Strong Python skills with libraries such as Pandas, Scikit-learn, NumPy - · Experience with Databricks and Spark - · Hands-on use of MLflow or similar model lifecycle and MLOps frameworks - · Experience with deep learning frameworks (e.g. PyTorch) - · Practical experience with GenAI / LLMs - · Exposure to AWS Bedrock & AWS SageMaker - · Strong SQL and data analysis skills Nice to Have - · Experience in regulated or security conscious environments - · Exposure to production model deployment patterns - · Familiarity with Responsible AI and model governance - · Client facing or consulting experience Additional Information Why Version 1? At Version 1, we believe in providing our employees with a comprehensive benefits package that prioritises their wellbeing, professional growth, and financial stability. - Share in our success with our Quarterly Performance-Related Profit Share Scheme, where employees collectively benefit from a share of our company's profits - Strong Career Progression & mentorship coaching through our Strength in Balance & Leadership schemes with a dedicated quarterly Pathways Career Development programme - Flexible/remote working, Version 1 is tremendously understanding of life events and people’s individual circumstances and offer flexibility to help achieve a healthy work life balance - Financial Wellbeing initiatives including; Pension, Private Healthcare Cover, Life Assurance, Financial advice and an Employee Discount scheme - Employee Wellbeing schemes including Gym Discounts, Bike to Work, Fitness classes, Mindfulness Workshops, Employee Assistance Programme and much more. Generous holiday allowance, enhanced maternity/paternity leave, marriage/civil partnership leave and special leave policies - Educational assistance, incentivised certifications, and accreditations, including AWS, Microsoft, Oracle, and Red Hat - Reward schemes including Version 1’s Annual Excellence Awards & ‘Call-Out’ platform. - Environment, Social and Community First initiatives allow you to get involved in local fundraising and development opportunities as part of fostering our diversity, inclusion and belonging schemes. And many more exciting benefits… drop us a note to find out more. Version 1 is an equal opportunities employer. We are committed to building a diverse, inclusive and respectful workplace where everyone feels valued and able to thrive. We welcome applications from people of all backgrounds, identities and lived experiences, and we value the different perspectives people bring. We want every candidate to have a positive and accessible recruitment experience. If you need reasonable adjustments at any stage of the process, please contact [recruiter email address][EM1] at Version 1. We will consider all requests carefully, respectfully and confidentially. Video links: https://www.youtube.com/watch?v=F_d3ELTH5zo [EM1]Please add the email address for the lead recruiter - Department: Digital, Data and Cloud